搜索结果: 16-26 共查到“大地测量学 Hyperspectral”相关记录26条 . 查询时间(0.018 秒)
AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION
Vegetation Mapping Hyperspectral Image Classification Maximum Likelihood Classifier Random Forest Support Vector Machine Open Landscape
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2015/9/21
In our study we classified grassland vegetation types of an alkali landscape (Eastern Hungary), using different image classification methods for hyperspectral data. Our aim was to test the applicabili...
An adaptive, hyperspectral imager is presented. We propose a system with easily adaptable spectral resolution, adjustable acquisition time, and high spatial resolution which is independent of spectral...
ADVANCES IN HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION AND SPECTRAL UNMIXING
hyperspectral image fusion super-resolution spectral unmixing endmembers processing techniques
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2015/9/21
In this work, we jointly process high spectral and high geometric resolution images and exploit their synergies to (a) generate a fused image of high spectral and geometric resolution; and (b) improve...
ESTIMATION OF THE THICKNESS AND EMULSION RATE OF OIL SPILLED AT SEA USING HYPERSPECTRAL REMOTE SENSING IMAGERY IN THE SWIR DOMAIN
hyperspectral oil spill thickness emulsion rate
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2015/9/21
The thickness and the emulsion rate of an oil spill are two key parameters allowing to design a tailored response to an oil discharge. If estimated on per pixel basis at a high spatial resolution, the...
EXTRACTION OF OPTIMAL SPECTRAL BANDS USING HIERARCHICAL BAND MERGING OUT OF HYPERSPECTRAL DATA
Classification Feature selection Sensor design Hyperspectral Spectral bands Multispectral
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2015/9/21
Spectral optimization consists in identifying the most relevant band subset for a specific application. It is a way to reduce hyperspectral data huge dimensionality and can be applied to design specif...
COMBINED ANALYSIS OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE DATA IN AN OBJECT ORIENTED CLASSIFICATION APPROACH
imaging spectroscopy endmember selection urban monitoring
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2015/8/3
Many applications of remote sensing – like, for example, urban monitoring – require high resolution data for a correct determination of object geometry. These spatial high resolution image data contai...
Wavelet-based analysis of hyperspectral data for detecting spectral features
Hyperspectral Data Spectral Feature Extraction Wavelet Transform Modulus Maxima Remote Sensing
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2015/2/5
The purpose of feature extraction is to abstract substantial information from the original data input and filtering out
redundant information. In this paper we transfer the hyperspectral data from t...
GEOMETRIC REGISTRATION AND CLASSIFICATION OF HYPERSPECTRAL AIRBORNE PUSHBROOM DATA
Mathematical models Orientation Hyperspectral Image registration Remote sensing Multispectral Classificationa
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2015/2/3
Innovative geometric modeling techniques involving stochastic constraints and linear feature exploitation have been demonstrated to yield good results in the rectification of hyperspectral airborne pu...
Target detection algorithm for airborne thermal hyperspectral data
Thermal Hyperspectral LWIR (Long Wave Infrared) Constrained Energy Minimization (CEM) Minimum Noise Fraction (MNF)
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2014/12/15
Airborne hyperspectral imaging is constantly being used for classification purpose. But airborne thermal hyperspectral image usually is a challenge for conventional classification approaches. The Telo...
Hyperspectral analysis of clay minerals
Clay minerals X Ray Diffraction Hyperspectral DISPEC Spectral Angle Mapper
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2014/12/15
A study was carried out by collecting soil samples from parts of Gwalior and Shivpuri district, Madhya Pradesh in order to assess the dominant clay mineral of these soils using hyperspectral data, as ...
Integrating model knowledge into SVM classification – Fusing hyperspectral and laserscanning data by kernel composition
hyperspectral airborne laserscanning data fusion support vector machine
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2014/6/5
Roof materials are important sources of pollutants within cities.
To monitor and quantify polluted roof runoff, a precise classification approach of various roof material classes is needed. Wit...